Improving speech recognition by revising gated recurrent units - Mirco Ravanelli; Philemon Brakel; Maurizio Omologo; Yoshua Bengio (CoRR, 2017)

Residual Connections Encourage Iterative Inference - Stanislaw Jastrzebski; Devansh Arpit; Nicolas Ballas; Vikas Verma; Tong Che; Yoshua Bengio (CoRR, 2017)

Generalization in Deep Learning - Kenji Kawaguchi; Leslie Pack Kaelbling; Yoshua Bengio (CoRR, 2017)

FigureQA: An Annotated Figure Dataset for Visual Reasoning - Samira Ebrahimi Kahou; Adam Atkinson; Vincent Michalski; Ákos Kádár; Adam Trischler; Yoshua Bengio (CoRR, 2017)

Graph Attention Networks - Petar Velickovic; Guillem Cucurull; Arantxa Casanova; Adriana Romero; Pietro Liò; Yoshua Bengio (CoRR, 2017)

Fraternal Dropout - Konrad Zolna; Devansh Arpit; Dendi Suhubdy; Yoshua Bengio (CoRR, 2017)

Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask - Stylianos Ioannis Mimilakis; Konstantinos Drossos; João Felipe Santos; Gerald Schuller; Tuomas Virtanen; Yoshua Bengio (CoRR, 2017)

Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net - Anirudh Goyal; Nan Rosemary Ke; Surya Ganguli; Yoshua Bengio (CoRR, 2017)

Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks - Nan Rosemary Ke; Anirudh Goyal; Olexa Bilaniuk; Jonathan Binas; Laurent Charlin; Chris Pal; Yoshua Bengio (CoRR, 2017)

Three Factors Influencing Minima in SGD - Stanislaw Jastrzebski; Zachary Kenton; Devansh Arpit; Nicolas Ballas; Asja Fischer; Yoshua Bengio; Amos J. Storkey (CoRR, 2017)

ACtuAL: Actor-Critic Under Adversarial Learning - Anirudh Goyal; Nan Rosemary Ke; Alex Lamb; R. Devon Hjelm; Chris Pal; Joelle Pineau; Yoshua Bengio (CoRR, 2017)

Z-Forcing: Training Stochastic Recurrent Networks - Anirudh Goyal; Alessandro Sordoni; Marc-Alexandre Côté; Nan Rosemary Ke; Yoshua Bengio (CoRR, 2017)

Variational Bi-LSTMs - Samira Shabanian; Devansh Arpit; Adam Trischler; Yoshua Bengio (CoRR, 2017)

Equivalence of Equilibrium Propagation and Recurrent Backpropagation - Benjamin Scellier; Yoshua Bengio (CoRR, 2017)

Plan, Attend, Generate: Planning for Sequence-to-Sequence Models - Francis Dutil; Çaglar Gülçehre; Adam Trischler; Yoshua Bengio (CoRR, 2017)

Measuring the tendency of CNNs to Learn Surface Statistical Regularities - Jason Jo; Yoshua Bengio (CoRR, 2017)

GibbsNet: Iterative Adversarial Inference for Deep Graphical Models - Alex Lamb; R. Devon Hjelm; Yaroslav Ganin; Joseph Paul Cohen; Aaron C. Courville; Yoshua Bengio (CoRR, 2017)

Deep Learning - Ian J. Goodfellow; Yoshua Bengio; Aaron C. Courville (MIT Press, 2016)

Knowledge Matters: Importance of Prior Information for Optimization - Çaglar Gülçehre; Yoshua Bengio (J. Mach. Learn. Res., 2016)

EmoNets: Multimodal deep learning approaches for emotion recognition in video - Samira Ebrahimi Kahou; Xavier Bouthillier; Pascal Lamblin; Çaglar Gülçehre; Vincent Michalski; Kishore Konda; Sébastien Jean; Pierre Froumenty; Yann N. Dauphin; Nicolas Boulanger-Lewandowski; Raul Chandias Ferrari; Mehdi Mirza; et al. (J. Multimodal User Interfaces, 2016)

Big Data: Theoretical Aspects [Scanning the Issue] - Simon Haykin; Stephen J. Wright; Yoshua Bengio (Proc. IEEE, 2016)

Learning to Understand Phrases by Embedding the Dictionary - Felix Hill; KyungHyun Cho; Anna Korhonen; Yoshua Bengio (Trans. Assoc. Comput. Linguistics, 2016)

Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models - Iulian Vlad Serban; Alessandro Sordoni; Yoshua Bengio; Aaron C. Courville; Joelle Pineau (Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA, 2016)

A Character-level Decoder without Explicit Segmentation for Neural Machine Translation - Junyoung Chung; Kyunghyun Cho; Yoshua Bengio (Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7-12, 2016, Berlin, Germany, Volume 1: Long Papers, 2016)

Pointing the Unknown Words - Çaglar Gülçehre; Sungjin Ahn; Ramesh Nallapati; Bowen Zhou; Yoshua Bengio (Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7-12, 2016, Berlin, Germany, Volume 1: Long Papers, 2016)

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus - Iulian Vlad Serban; Alberto García-Durán; Çaglar Gülçehre; Sungjin Ahn; Sarath Chandar; Aaron C. Courville; Yoshua Bengio (Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7-12, 2016, Berlin, Germany, Volume 1: Long Papers, 2016)

Oracle Performance for Visual Captioning - Li Yao; Nicolas Ballas; Kyunghyun Cho; John R. Smith; Yoshua Bengio (Proceedings of the British Machine Vision Conference 2016, BMVC 2016, York, UK, September 19-22, 2016, 2016)

ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation - Francesco Visin; Adriana Romero; Kyunghyun Cho; Matteo Matteucci; Marco Ciccone; Kyle Kastner; Yoshua Bengio; Aaron C. Courville (2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2016, Las Vegas, NV, USA, June 26 - July 1, 2016, 2016)

Batch normalized recurrent neural networks - César Laurent; Gabriel Pereyra; Philemon Brakel; Ying Zhang; Yoshua Bengio (2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, Shanghai, China, March 20-25, 2016, 2016)

End-to-end attention-based large vocabulary speech recognition - Dzmitry Bahdanau; Jan Chorowski; Dmitriy Serdyuk; Philemon Brakel; Yoshua Bengio (2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, Shanghai, China, March 20-25, 2016, 2016)

Unitary Evolution Recurrent Neural Networks - Martín Arjovsky; Amar Shah; Yoshua Bengio (Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016, 2016)

Deconstructing the Ladder Network Architecture - Mohammad Pezeshki; Linxi Fan; Philemon Brakel; Aaron C. Courville; Yoshua Bengio (Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016, 2016)

Bidirectional Helmholtz Machines - Jörg Bornschein; Samira Shabanian; Asja Fischer; Yoshua Bengio (Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016, 2016)

Noisy Activation Functions - Çaglar Gülçehre; Marcin Moczulski; Misha Denil; Yoshua Bengio (Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016, 2016)

Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks - Ying Zhang; Mohammad Pezeshki; Philémon Brakel; Saizheng Zhang; César Laurent; Yoshua Bengio; Aaron C. Courville (17th Annual Conference of the International Speech Communication Association, Interspeech 2016, San Francisco, CA, USA, September 8-12, 2016, 2016)

HeMIS: Hetero-Modal Image Segmentation - Mohammad Havaei; Nicolas Guizard; Nicolas Chapados; Yoshua Bengio (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II, 2016)

Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism - Orhan Firat; Kyunghyun Cho; Yoshua Bengio (NAACL HLT 2016, The 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, San Diego California, USA, June 12-17, 2016, 2016)

Architectural Complexity Measures of Recurrent Neural Networks - Saizheng Zhang; Yuhuai Wu; Tong Che; Zhouhan Lin; Roland Memisevic; Ruslan Salakhutdinov; Yoshua Bengio (Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain, 2016)

On Multiplicative Integration with Recurrent Neural Networks - Yuhuai Wu; Saizheng Zhang; Ying Zhang; Yoshua Bengio; Ruslan Salakhutdinov (Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain, 2016)

Binarized Neural Networks - Itay Hubara; Matthieu Courbariaux; Daniel Soudry; Ran El-Yaniv; Yoshua Bengio (Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain, 2016)

Professor Forcing: A New Algorithm for Training Recurrent Networks - Anirudh Goyal; Alex Lamb; Ying Zhang; Saizheng Zhang; Aaron C. Courville; Yoshua Bengio (Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain, 2016)

Batch-normalized joint training for DNN-based distant speech recognition - Mirco Ravanelli; Philemon Brakel; Maurizio Omologo; Yoshua Bengio (2016 IEEE Spoken Language Technology Workshop, SLT 2016, San Diego, CA, USA, December 13-16, 2016, 2016)

NYU-MILA Neural Machine Translation Systems for WMT'16 - Junyoung Chung; Kyunghyun Cho; Yoshua Bengio (Proceedings of the First Conference on Machine Translation, WMT 2016, colocated with ACL 2016, August 11-12, Berlin, Germany, 2016)

Neural Networks with Few Multiplications - Zhouhan Lin; Matthieu Courbariaux; Roland Memisevic; Yoshua Bengio (4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico, May 2-4, 2016, Conference Track Proceedings, 2016)

4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico, May 2-4, 2016, Conference Track Proceedings - Yoshua Bengio; Yann LeCun (2016)

Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism - Orhan Firat; KyungHyun Cho; Yoshua Bengio (CoRR, 2016)

BinaryNet: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1 - Matthieu Courbariaux; Yoshua Bengio (CoRR, 2016)

Towards a Biologically Plausible Backprop - Benjamin Scellier; Yoshua Bengio (CoRR, 2016)

Architectural Complexity Measures of Recurrent Neural Networks - Saizheng Zhang; Yuhuai Wu; Tong Che; Zhouhan Lin; Roland Memisevic; Ruslan Salakhutdinov; Yoshua Bengio (CoRR, 2016)

Noisy Activation Functions - Çaglar Gülçehre; Marcin Moczulski; Misha Denil; Yoshua Bengio (CoRR, 2016)

A Character-level Decoder without Explicit Segmentation for Neural Machine Translation - Junyoung Chung; Kyunghyun Cho; Yoshua Bengio (CoRR, 2016)

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus - Iulian Vlad Serban; Alberto García-Durán; Çaglar Gülçehre; Sungjin Ahn; Sarath Chandar; Aaron C. Courville; Yoshua Bengio (CoRR, 2016)

Pointing the Unknown Words - Çaglar Gülçehre; Sungjin Ahn; Ramesh Nallapati; Bowen Zhou; Yoshua Bengio (CoRR, 2016)

Theano: A Python framework for fast computation of mathematical expressions - Rami Al-Rfou; Guillaume Alain; Amjad Almahairi; Christof Angermüller; Dzmitry Bahdanau; Nicolas Ballas; Frédéric Bastien; Justin Bayer; Anatoly Belikov; Alexander Belopolsky; Yoshua Bengio; Arnaud Bergeron; et al. (CoRR, 2016)

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues - Iulian Vlad Serban; Alessandro Sordoni; Ryan Lowe; Laurent Charlin; Joelle Pineau; Aaron C. Courville; Yoshua Bengio (CoRR, 2016)

Hierarchical Memory Networks - Sarath Chandar; Sungjin Ahn; Hugo Larochelle; Pascal Vincent; Gerald Tesauro; Yoshua Bengio (CoRR, 2016)

Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation - Iulian Vlad Serban; Tim Klinger; Gerald Tesauro; Kartik Talamadupula; Bowen Zhou; Yoshua Bengio; Aaron C. Courville (CoRR, 2016)

Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations - David Krueger; Tegan Maharaj; János Kramár; Mohammad Pezeshki; Nicolas Ballas; Nan Rosemary Ke; Anirudh Goyal; Yoshua Bengio; Hugo Larochelle; Aaron C. Courville; Chris Pal (CoRR, 2016)

Feedforward Initialization for Fast Inference of Deep Generative Networks is biologically plausible - Yoshua Bengio; Benjamin Scellier; Olexa Bilaniuk; João Sacramento; Walter Senn (CoRR, 2016)

Iterative Alternating Neural Attention for Machine Reading - Alessandro Sordoni; Philip Bachman; Yoshua Bengio (CoRR, 2016)

Deep Directed Generative Models with Energy-Based Probability Estimation - Taesup Kim; Yoshua Bengio (CoRR, 2016)

Online and Offline Handwritten Chinese Character Recognition: A Comprehensive Study and New Benchmark - Xu-Yao Zhang; Yoshua Bengio; Cheng-Lin Liu (CoRR, 2016)

Drawing and Recognizing Chinese Characters with Recurrent Neural Network - Xu-Yao Zhang; Fei Yin; Yan-Ming Zhang; Cheng-Lin Liu; Yoshua Bengio (CoRR, 2016)

On Multiplicative Integration with Recurrent Neural Networks - Yuhuai Wu; Saizheng Zhang; Ying Zhang; Yoshua Bengio; Ruslan Salakhutdinov (CoRR, 2016)

Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes - Çaglar Gülçehre; Sarath Chandar; Kyunghyun Cho; Yoshua Bengio (CoRR, 2016)

Context-Dependent Word Representation for Neural Machine Translation - Heeyoul Choi; Kyunghyun Cho; Yoshua Bengio (CoRR, 2016)

HeMIS: Hetero-Modal Image Segmentation - Mohammad Havaei; Nicolas Guizard; Nicolas Chapados; Yoshua Bengio (CoRR, 2016)

An Actor-Critic Algorithm for Sequence Prediction - Dzmitry Bahdanau; Philemon Brakel; Kelvin Xu; Anirudh Goyal; Ryan Lowe; Joelle Pineau; Aaron C. Courville; Yoshua Bengio (CoRR, 2016)

A Neural Knowledge Language Model - Sungjin Ahn; Heeyoul Choi; Tanel Pärnamaa; Yoshua Bengio (CoRR, 2016)

Mollifying Networks - Çaglar Gülçehre; Marcin Moczulski; Francesco Visin; Yoshua Bengio (CoRR, 2016)

Recurrent Neural Networks With Limited Numerical Precision - Joachim Ott; Zhouhan Lin; Ying Zhang; Shih-Chii Liu; Yoshua Bengio (CoRR, 2016)

Hierarchical Multiscale Recurrent Neural Networks - Junyoung Chung; Sungjin Ahn; Yoshua Bengio (CoRR, 2016)

Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations - Itay Hubara; Matthieu Courbariaux; Daniel Soudry; Ran El-Yaniv; Yoshua Bengio (CoRR, 2016)

Understanding intermediate layers using linear classifier probes - Guillaume Alain; Yoshua Bengio (CoRR, 2016)

Professor Forcing: A New Algorithm for Training Recurrent Networks - Alex Lamb; Anirudh Goyal; Ying Zhang; Saizheng Zhang; Aaron C. Courville; Yoshua Bengio (CoRR, 2016)

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation - Simon Jégou; Michal Drozdzal; David Vázquez; Adriana Romero; Yoshua Bengio (CoRR, 2016)

Diet Networks: Thin Parameters for Fat Genomic - Adriana Romero; Pierre Luc Carrier; Akram Erraqabi; Tristan Sylvain; Alex Auvolat; Etienne Dejoie; Marc-André Legault; Marie-Pierre Dubé; Julie G. Hussin; Yoshua Bengio (CoRR, 2016)

Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space - Anh Nguyen; Jason Yosinski; Yoshua Bengio; Alexey Dosovitskiy; Jeff Clune (CoRR, 2016)

Invariant Representations for Noisy Speech Recognition - Dmitriy Serdyuk; Kartik Audhkhasi; Philemon Brakel; Bhuvana Ramabhadran; Samuel Thomas; Yoshua Bengio (CoRR, 2016)

Mode Regularized Generative Adversarial Networks - Tong Che; Yanran Li; Athul Paul Jacob; Yoshua Bengio; Wenjie Li (CoRR, 2016)

Generalizable Features From Unsupervised Learning - Mehdi Mirza; Aaron C. Courville; Yoshua Bengio (CoRR, 2016)

On Random Weights for Texture Generation in One Layer Neural Networks - Mihir Mongia; Kundan Kumar; Akram Erraqabi; Yoshua Bengio (CoRR, 2016)

SampleRNN: An Unconditional End-to-End Neural Audio Generation Model - Soroush Mehri; Kundan Kumar; Ishaan Gulrajani; Rithesh Kumar; Shubham Jain; Jose Sotelo; Aaron C. Courville; Yoshua Bengio (CoRR, 2016)

Deep learning - Yann LeCun; Yoshua Bengio; Geoffrey E. Hinton (Nat., 2015)

Editorial introduction to the Neural Networks special issue on Deep Learning of Representations - Yoshua Bengio; Honglak Lee (Neural Networks, 2015)

Challenges in representation learning: A report on three machine learning contests - Ian J. Goodfellow; Dumitru Erhan; Pierre Luc Carrier; Aaron C. Courville; Mehdi Mirza; Benjamin Hamner; William Cukierski; Yichuan Tang; David Thaler; Dong-Hyun Lee; Yingbo Zhou; Chetan Ramaiah; et al. (Neural Networks, 2015)

Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding - Grégoire Mesnil; Yann N. Dauphin; Kaisheng Yao; Yoshua Bengio; Li Deng; Dilek Hakkani-Tür; Xiaodong He; Larry P. Heck; Gökhan Tür; Dong Yu; Geoffrey Zweig (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Describing Multimedia Content Using Attention-Based Encoder-Decoder Networks - Kyunghyun Cho; Aaron C. Courville; Yoshua Bengio (IEEE Trans. Multim., 2015)

On Using Very Large Target Vocabulary for Neural Machine Translation - Sébastien Jean; KyungHyun Cho; Roland Memisevic; Yoshua Bengio (Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL 2015, July 26-31, 2015, Beijing, China, Volume 1: Long Papers, 2015)

IAPR keynote lecture IV: Deep learning - Yoshua Bengio (3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015, Kuala Lumpur, Malaysia, November 3-6, 2015, 2015)

A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion - Alessandro Sordoni; Yoshua Bengio; Hossein Vahabi; Christina Lioma; Jakob Grue Simonsen; Jian-Yun Nie (Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015, 2015)

BilBOWA: Fast Bilingual Distributed Representations without Word Alignments - Stephan Gouws; Yoshua Bengio; Greg Corrado (Proceedings of the 32nd International Conference on Machine Learning, ICML 2015, Lille, France, 6-11 July 2015, 2015)

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention - Kelvin Xu; Jimmy Ba; Ryan Kiros; Kyunghyun Cho; Aaron C. Courville; Ruslan Salakhutdinov; Richard S. Zemel; Yoshua Bengio (Proceedings of the 32nd International Conference on Machine Learning, ICML 2015, Lille, France, 6-11 July 2015, 2015)

Gated Feedback Recurrent Neural Networks - Junyoung Chung; Çaglar Gülçehre; Kyunghyun Cho; Yoshua Bengio (Proceedings of the 32nd International Conference on Machine Learning, ICML 2015, Lille, France, 6-11 July 2015, 2015)

Attention-Based Models for Speech Recognition - Jan Chorowski; Dzmitry Bahdanau; Dmitriy Serdyuk; Kyunghyun Cho; Yoshua Bengio (Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada, 2015)

Equilibrated adaptive learning rates for non-convex optimization - Yann N. Dauphin; Harm de Vries; Yoshua Bengio (Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada, 2015)

A Recurrent Latent Variable Model for Sequential Data - Junyoung Chung; Kyle Kastner; Laurent Dinh; Kratarth Goel; Aaron C. Courville; Yoshua Bengio (Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada, 2015)

BinaryConnect: Training Deep Neural Networks with binary weights during propagations - Matthieu Courbariaux; Yoshua Bengio; Jean-Pierre David (Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada, 2015)

Artificial Neural Networks Applied to Taxi Destination Prediction - Alexandre de Brébisson; Étienne Simon; Alex Auvolat; Pascal Vincent; Yoshua Bengio (Proceedings of the ECML/PKDD 2015 Discovery Challenges co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2015), Porto, Portugal, September 7-11, 2015, 2015)

Difference Target Propagation - Dong-Hyun Lee; Saizheng Zhang; Asja Fischer; Yoshua Bengio (Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I, 2015)

Montreal Neural Machine Translation Systems for WMT'15 - Sébastien Jean; Orhan Firat; Kyunghyun Cho; Roland Memisevic; Yoshua Bengio (Proceedings of the Tenth Workshop on Statistical Machine Translation, WMT@EMNLP 2015, 17-18 September 2015, Lisbon, Portugal, 2015)

Neural Machine Translation by Jointly Learning to Align and Translate - Dzmitry Bahdanau; Kyunghyun Cho; Yoshua Bengio (3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings, 2015)

Reweighted Wake-Sleep - Jörg Bornschein; Yoshua Bengio (3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings, 2015)

Low precision arithmetic for deep learning - Matthieu Courbariaux; Yoshua Bengio; Jean-Pierre David (3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Workshop Track Proceedings, 2015)

NICE: Non-linear Independent Components Estimation - Laurent Dinh; David Krueger; Yoshua Bengio (3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Workshop Track Proceedings, 2015)

Embedding Word Similarity with Neural Machine Translation - Felix Hill; Kyunghyun Cho; Sébastien Jean; Coline Devin; Yoshua Bengio (3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Workshop Track Proceedings, 2015)

Target Propagation - Dong-Hyun Lee; Saizheng Zhang; Antoine Biard; Yoshua Bengio (3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Workshop Track Proceedings, 2015)

Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews - Grégoire Mesnil; Tomás Mikolov; Marc'Aurelio Ranzato; Yoshua Bengio (3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Workshop Track Proceedings, 2015)

FitNets: Hints for Thin Deep Nets - Adriana Romero; Nicolas Ballas; Samira Ebrahimi Kahou; Antoine Chassang; Carlo Gatta; Yoshua Bengio (3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings, 2015)

3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings - Yoshua Bengio; Yann LeCun (2015)

3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Workshop Track Proceedings - Yoshua Bengio; Yann LeCun (2015)

Gated Feedback Recurrent Neural Networks - Junyoung Chung; Çaglar Gülçehre; KyungHyun Cho; Yoshua Bengio (CoRR, 2015)

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention - Kelvin Xu; Jimmy Ba; Ryan Kiros; Kyunghyun Cho; Aaron C. Courville; Ruslan Salakhutdinov; Richard S. Zemel; Yoshua Bengio (CoRR, 2015)

Towards Biologically Plausible Deep Learning - Yoshua Bengio; Dong-Hyun Lee; Jörg Bornschein; Zhouhan Lin (CoRR, 2015)

RMSProp and equilibrated adaptive learning rates for non-convex optimization - Yann N. Dauphin; Harm de Vries; Junyoung Chung; Yoshua Bengio (CoRR, 2015)

EmoNets: Multimodal deep learning approaches for emotion recognition in video - Samira Ebrahimi Kahou; Xavier Bouthillier; Pascal Lamblin; Çaglar Gülçehre; Vincent Michalski; Kishore Reddy Konda; Sébastien Jean; Pierre Froumenty; Yann N. Dauphin; Nicolas Boulanger-Lewandowski; Raul Chandias Ferrari; Mehdi Mirza; et al. (CoRR, 2015)

On Using Monolingual Corpora in Neural Machine Translation - Çaglar Gülçehre; Orhan Firat; Kelvin Xu; Kyunghyun Cho; Loïc Barrault; Huei-Chi Lin; Fethi Bougares; Holger Schwenk; Yoshua Bengio (CoRR, 2015)

GSNs : Generative Stochastic Networks - Guillaume Alain; Yoshua Bengio; Li Yao; Jason Yosinski; Eric Thibodeau-Laufer; Saizheng Zhang; Pascal Vincent (CoRR, 2015)

Learning to Understand Phrases by Embedding the Dictionary - Felix Hill; Kyunghyun Cho; Anna Korhonen; Yoshua Bengio (CoRR, 2015)

ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks - Francesco Visin; Kyle Kastner; Kyunghyun Cho; Matteo Matteucci; Aaron C. Courville; Yoshua Bengio (CoRR, 2015)

Brain Tumor Segmentation with Deep Neural Networks - Mohammad Havaei; Axel Davy; David Warde-Farley; Antoine Biard; Aaron C. Courville; Yoshua Bengio; Chris Pal; Pierre-Marc Jodoin; Hugo Larochelle (CoRR, 2015)

Blocks and Fuel: Frameworks for deep learning - Bart van Merriënboer; Dzmitry Bahdanau; Vincent Dumoulin; Dmitriy Serdyuk; David Warde-Farley; Jan Chorowski; Yoshua Bengio (CoRR, 2015)

A Recurrent Latent Variable Model for Sequential Data - Junyoung Chung; Kyle Kastner; Laurent Dinh; Kratarth Goel; Aaron C. Courville; Yoshua Bengio (CoRR, 2015)

Training opposing directed models using geometric mean matching - Jörg Bornschein; Samira Shabanian; Asja Fischer; Yoshua Bengio (CoRR, 2015)

Attention-Based Models for Speech Recognition - Jan Chorowski; Dzmitry Bahdanau; Dmitriy Serdyuk; KyungHyun Cho; Yoshua Bengio (CoRR, 2015)

Describing Multimedia Content using Attention-based Encoder-Decoder Networks - KyungHyun Cho; Aaron C. Courville; Yoshua Bengio (CoRR, 2015)

A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestion - Alessandro Sordoni; Yoshua Bengio; Hossein Vahabi; Christina Lioma; Jakob Grue Simonsen; Jian-Yun Nie (CoRR, 2015)

Hierarchical Neural Network Generative Models for Movie Dialogues - Iulian Vlad Serban; Alessandro Sordoni; Yoshua Bengio; Aaron C. Courville; Joelle Pineau (CoRR, 2015)

Artificial Neural Networks Applied to Taxi Destination Prediction - Alexandre de Brébisson; Étienne Simon; Alex Auvolat; Pascal Vincent; Yoshua Bengio (CoRR, 2015)

End-to-End Attention-based Large Vocabulary Speech Recognition - Dzmitry Bahdanau; Jan Chorowski; Dmitriy Serdyuk; Philemon Brakel; Yoshua Bengio (CoRR, 2015)

An objective function for STDP - Yoshua Bengio; Thomas Mesnard; Asja Fischer; Saizheng Zhang; Yuhai Wu (CoRR, 2015)

Batch Normalized Recurrent Neural Networks - César Laurent; Gabriel Pereyra; Philemon Brakel; Ying Zhang; Yoshua Bengio (CoRR, 2015)

Early Inference in Energy-Based Models Approximates Back-Propagation - Yoshua Bengio (CoRR, 2015)

BinaryConnect: Training Deep Neural Networks with binary weights during propagations - Matthieu Courbariaux; Yoshua Bengio; Jean-Pierre David (CoRR, 2015)

Trainable performance upper bounds for image and video captioning - Li Yao; Nicolas Ballas; KyungHyun Cho; John R. Smith; Yoshua Bengio (CoRR, 2015)

Denoising Criterion for Variational Auto-Encoding Framework - Daniel Jiwoong Im; Sungjin Ahn; Roland Memisevic; Yoshua Bengio (CoRR, 2015)

Deconstructing the Ladder Network Architecture - Mohammad Pezeshki; Linxi Fan; Philemon Brakel; Aaron C. Courville; Yoshua Bengio (CoRR, 2015)

Task Loss Estimation for Sequence Prediction - Dzmitry Bahdanau; Dmitriy Serdyuk; Philemon Brakel; Nan Rosemary Ke; Jan Chorowski; Aaron C. Courville; Yoshua Bengio (CoRR, 2015)

Unitary Evolution Recurrent Neural Networks - Martín Arjovsky; Amar Shah; Yoshua Bengio (CoRR, 2015)

Variance Reduction in SGD by Distributed Importance Sampling - Guillaume Alain; Alex Lamb; Chinnadhurai Sankar; Aaron C. Courville; Yoshua Bengio (CoRR, 2015)

ReSeg: A Recurrent Neural Network for Object Segmentation - Francesco Visin; Kyle Kastner; Aaron C. Courville; Yoshua Bengio; Matteo Matteucci; KyungHyun Cho (CoRR, 2015)

Conditioning and time representation in long short-term memory networks - François Rivest; John Kalaska; Yoshua Bengio (Biol. Cybern., 2014)

What regularized auto-encoders learn from the data-generating distribution - Guillaume Alain; Yoshua Bengio (J. Mach. Learn. Res., 2014)

A semantic matching energy function for learning with multi-relational data - Application to word-sense disambiguation - Antoine Bordes; Xavier Glorot; Jason Weston; Yoshua Bengio (Mach. Learn., 2014)

Learning semantic representations of objects and their parts - Grégoire Mesnil; Antoine Bordes; Jason Weston; Gal Chechik; Yoshua Bengio (Mach. Learn., 2014)

The Spike-and-Slab RBM and Extensions to Discrete and Sparse Data Distributions - Aaron C. Courville; Guillaume Desjardins; James Bergstra; Yoshua Bengio (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

On the Challenges of Physical Implementations of RBMs - Vincent Dumoulin; Ian J. Goodfellow; Aaron C. Courville; Yoshua Bengio (Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Québec City, Québec, Canada, 2014)

Learning Concept Embeddings for Query Expansion by Quantum Entropy Minimization - Alessandro Sordoni; Yoshua Bengio; Jian-Yun Nie (Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Québec City, Québec, Canada, 2014)

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation - Kyunghyun Cho; Bart van Merrienboer; Çaglar Gülçehre; Dzmitry Bahdanau; Fethi Bougares; Holger Schwenk; Yoshua Bengio (Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014, October 25-29, 2014, Doha, Qatar, A meeting of SIGDAT, a Special Interest Group of the ACL, 2014)

Deep learning and cultural evolution - Yoshua Bengio (Genetic and Evolutionary Computation Conference, GECCO '14, Vancouver, BC, Canada, July 12-16, 2014, Companion Material Proceedings, 2014)

Deep Generative Stochastic Networks Trainable by Backprop - Yoshua Bengio; Eric Laufer; Guillaume Alain; Jason Yosinski (Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014, 2014)

Marginalized Denoising Auto-encoders for Nonlinear Representations - Minmin Chen; Kilian Q. Weinberger; Fei Sha; Yoshua Bengio (Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014, 2014)

Scaling up deep learning - Yoshua Bengio (The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '14, New York, NY, USA - August 24 - 27, 2014, 2014)

Iterative Neural Autoregressive Distribution Estimator NADE-k - Tapani Raiko; Li Yao; KyungHyun Cho; Yoshua Bengio (Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada, 2014)

Generative Adversarial Nets - Ian J. Goodfellow; Jean Pouget-Abadie; Mehdi Mirza; Bing Xu; David Warde-Farley; Sherjil Ozair; Aaron C. Courville; Yoshua Bengio (Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada, 2014)

On the Number of Linear Regions of Deep Neural Networks - Guido Montúfar; Razvan Pascanu; KyungHyun Cho; Yoshua Bengio (Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada, 2014)

Identifying and attacking the saddle point problem in high-dimensional non-convex optimization - Yann N. Dauphin; Razvan Pascanu; Çaglar Gülçehre; KyungHyun Cho; Surya Ganguli; Yoshua Bengio (Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada, 2014)

How transferable are features in deep neural networks? - Jason Yosinski; Jeff Clune; Yoshua Bengio; Hod Lipson (Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada, 2014)

On the Equivalence between Deep NADE and Generative Stochastic Networks - Li Yao; Sherjil Ozair; KyungHyun Cho; Yoshua Bengio (Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part III, 2014)

Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks - Çaglar Gülçehre; KyungHyun Cho; Razvan Pascanu; Yoshua Bengio (Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I, 2014)

Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation - Jean Pouget-Abadie; Dzmitry Bahdanau; Bart van Merrienboer; Kyunghyun Cho; Yoshua Bengio (Proceedings of SSST@EMNLP 2014, Eighth Workshop on Syntax, Semantics and Structure in Statistical Translation, Doha, Qatar, 25 October 2014, 2014)

On the Properties of Neural Machine Translation: Encoder-Decoder Approaches - Kyunghyun Cho; Bart van Merrienboer; Dzmitry Bahdanau; Yoshua Bengio (Proceedings of SSST@EMNLP 2014, Eighth Workshop on Syntax, Semantics and Structure in Statistical Translation, Doha, Qatar, 25 October 2014, 2014)

Bounding the Test Log-Likelihood of Generative Models - Yoshua Bengio; Li Yao (2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings, 2014)

An Empirical Investigation of Catastrophic Forgeting in Gradient-Based Neural Networks - Ian J. Goodfellow; Mehdi Mirza; Xia Da; Aaron C. Courville; Yoshua Bengio (2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings, 2014)

Multimodal Transitions for Generative Stochastic Networks - Sherjil Ozair; Li Yao; Yoshua Bengio (2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Workshop Track Proceedings, 2014)

How to Construct Deep Recurrent Neural Networks - Razvan Pascanu; Çaglar Gülçehre; Kyunghyun Cho; Yoshua Bengio (2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings, 2014)

On the number of inference regions of deep feed forward networks with piece-wise linear activations - Razvan Pascanu; Guido Montúfar; Yoshua Bengio (2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings, 2014)

An empirical analysis of dropout in piecewise linear networks - David Warde-Farley; Ian J. Goodfellow; Aaron C. Courville; Yoshua Bengio (2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings, 2014)

Revisiting Natural Gradient for Deep Networks - Razvan Pascanu; Yoshua Bengio (2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings, 2014)

Evolving Culture Versus Local Minima - Yoshua Bengio (Growing Adaptive Machines - Combining Development and Learning in Artificial Neural Networks, 2014)

2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings - Yoshua Bengio; Yann LeCun (2014)

2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Workshop Track Proceedings - Yoshua Bengio; Yann LeCun (2014)

On the Number of Linear Regions of Deep Neural Networks - Guido Montúfar; Razvan Pascanu; Kyunghyun Cho; Yoshua Bengio (CoRR, 2014)

On the saddle point problem for non-convex optimization - Razvan Pascanu; Yann N. Dauphin; Surya Ganguli; Yoshua Bengio (CoRR, 2014)

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation - Kyunghyun Cho; Bart van Merrienboer; Çaglar Gülçehre; Fethi Bougares; Holger Schwenk; Yoshua Bengio (CoRR, 2014)

Iterative Neural Autoregressive Distribution Estimator (NADE-k) - Tapani Raiko; Li Yao; Kyunghyun Cho; Yoshua Bengio (CoRR, 2014)

Identifying and attacking the saddle point problem in high-dimensional non-convex optimization - Yann N. Dauphin; Razvan Pascanu; Çaglar Gülçehre; Kyunghyun Cho; Surya Ganguli; Yoshua Bengio (CoRR, 2014)

Generative Adversarial Networks - Ian J. Goodfellow; Jean Pouget-Abadie; Mehdi Mirza; Bing Xu; David Warde-Farley; Sherjil Ozair; Aaron C. Courville; Yoshua Bengio (CoRR, 2014)

Exponentially Increasing the Capacity-to-Computation Ratio for Conditional Computation in Deep Learning - Kyunghyun Cho; Yoshua Bengio (CoRR, 2014)

How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation - Yoshua Bengio (CoRR, 2014)

On the Equivalence Between Deep NADE and Generative Stochastic Networks - Li Yao; Sherjil Ozair; Kyunghyun Cho; Yoshua Bengio (CoRR, 2014)

Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation - Jean Pouget-Abadie; Dzmitry Bahdanau; Bart van Merrienboer; KyungHyun Cho; Yoshua Bengio (CoRR, 2014)

On the Properties of Neural Machine Translation: Encoder-Decoder Approaches - KyungHyun Cho; Bart van Merrienboer; Dzmitry Bahdanau; Yoshua Bengio (CoRR, 2014)

Deep Tempering - Guillaume Desjardins; Heng Luo; Aaron C. Courville; Yoshua Bengio (CoRR, 2014)

Deep Directed Generative Autoencoders - Sherjil Ozair; Yoshua Bengio (CoRR, 2014)

Not All Neural Embeddings are Born Equal - Felix Hill; KyungHyun Cho; Sébastien Jean; Coline Devin; Yoshua Bengio (CoRR, 2014)

BilBOWA: Fast Bilingual Distributed Representations without Word Alignments - Stephan Gouws; Yoshua Bengio; Greg Corrado (CoRR, 2014)

How transferable are features in deep neural networks? - Jason Yosinski; Jeff Clune; Yoshua Bengio; Hod Lipson (CoRR, 2014)

End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results - Jan Chorowski; Dzmitry Bahdanau; Kyunghyun Cho; Yoshua Bengio (CoRR, 2014)

On Using Very Large Target Vocabulary for Neural Machine Translation - Sébastien Jean; Kyunghyun Cho; Roland Memisevic; Yoshua Bengio (CoRR, 2014)

Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling - Junyoung Chung; Çaglar Gülçehre; KyungHyun Cho; Yoshua Bengio (CoRR, 2014)

ADASECANT: Robust Adaptive Secant Method for Stochastic Gradient - Çaglar Gülçehre; Yoshua Bengio (CoRR, 2014)

Learning Deep Physiological Models of Affect - Héctor Pérez Martínez; Yoshua Bengio; Georgios N. Yannakakis (IEEE Comput. Intell. Mag., 2013)

Representation Learning: A Review and New Perspectives - Yoshua Bengio; Aaron C. Courville; Pascal Vincent (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Scaling Up Spike-and-Slab Models for Unsupervised Feature Learning - Ian J. Goodfellow; Aaron C. Courville; Yoshua Bengio (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions - Heng Luo; Pierre Luc Carrier; Aaron C. Courville; Yoshua Bengio (Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2013, Scottsdale, AZ, USA, April 29 - May 1, 2013, 2013)

Stacked calibration of off-policy policy evaluation for video game matchmaking - Eric Thibodeau-Laufer; Raul Chandias Ferrari; Li Yao; Olivier Delalleau; Yoshua Bengio (2013 IEEE Conference on Computational Inteligence in Games (CIG), Niagara Falls, ON, Canada, August 11-13, 2013, 2013)

High-dimensional sequence transduction - Nicolas Boulanger-Lewandowski; Yoshua Bengio; Pascal Vincent (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2013, Vancouver, BC, Canada, May 26-31, 2013, 2013)

Advances in optimizing recurrent networks - Yoshua Bengio; Nicolas Boulanger-Lewandowski; Razvan Pascanu (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2013, Vancouver, BC, Canada, May 26-31, 2013, 2013)